arXiv (All)
open access
Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning
Electromyography (EMG) is a measure of muscular electrical activity and is used in many clinical/biomedical disciplines and modern human computer interaction. Myo-electric prosthetics analyze and classify the electrical signals recorded from the residual limb. The classified output is then used to c
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Neuromusculoskeletal Interface for Bionic Arms#1230524
- Improving Myoelectric Prosthetic and Orthotic Limb Control#1260068
- Towards Robust and Accurate Myoelectric Controller Design based on Multi-objective Optimization using Evolutionary Computation#1104367
- A Biomimetic Myoelectric Tentacle Prosthesis with Sensorless Object Detection and Vibrotactile Feedback#1186507
- Osseointegrated Human-Machine Gateway#867866
Record · ID 1297979
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive